Region of Interest Based Independent Component Analysis

  • Ingo R. Keck
  • Jan Churan
  • Fabian J. Theis
  • Peter Gruber
  • Elmar W. Lang
  • Carlos G. Puntonet
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 4232)

Abstract

The over-complete case remains a difficult problem in the field of independent component analysis (ICA). In this article we combine a technique called “region of interest” (ROI) with a standard complete ICA. We show how to create a mask using ICA, then using the masked data for a second ICA. At the same time this method eliminates a commonly necessary model-based step in fMRI data analysis. We also demonstrate our approach on a real world fMRI data set example.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2006

Authors and Affiliations

  • Ingo R. Keck
    • 1
  • Jan Churan
    • 2
  • Fabian J. Theis
    • 1
  • Peter Gruber
    • 1
  • Elmar W. Lang
    • 1
  • Carlos G. Puntonet
    • 3
  1. 1.Institute of BiophysicsUniversity of RegensburgRegensburgGermany
  2. 2.Generation Research ProgramLMU MunichBad TölzGermany
  3. 3.Departamento ATCUniversidad de Granada/ESIIGranadaSpain

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